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Publication2016

Comparison of conventional and subspace based algorithms to estimate Direction of Arrival (DOA)

The record

Type
Publication
Date
22 November 2016
Level
National
Journal
International Conference on Communication and Signal Processing Iccsp 2016
Pages
251-255
Published
22 November 2016
DOI
10.1109/iccsp.2016.7754133
Scopus ID
85006802648
Authors
3
Open access
No
Citations
24
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryHigh confidenceJudged

    Comparison of conventional beamforming and subspace-based algorithms (MUSIC, ESPRIT) for direction of arrival estimation improves array signal processing resolution.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryModerate confidenceJudged

    Signal processing algorithm research advancing antenna array and radar technology.

    Moderate confidence
    The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Comparison of conventional and subspace based algorithms to estimate Direction of Arrival (DOA)”. Kortex.

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Comparison of conventional and subspace based algorithms to estimate Direction of Arrival (DOA) · Kortex